Triple
T17219999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renée Dwyer |
E417951
|
entity |
| Predicate | causalRelation |
P694
|
FINISHED |
| Object | Her remarriage to Phil Dwyer contributes to Bella Swan moving to Forks to live with Charlie Swan |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Her remarriage to Phil Dwyer contributes to Bella Swan moving to Forks to live with Charlie Swan | Statement: [Renée Dwyer, causalRelation, Her remarriage to Phil Dwyer contributes to Bella Swan moving to Forks to live with Charlie Swan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causalRelation Context triple: [Renée Dwyer, causalRelation, Her remarriage to Phil Dwyer contributes to Bella Swan moving to Forks to live with Charlie Swan]
-
A.
causalStructure
Indicates a relationship where one event, state, or condition is structured as a cause that brings about or influences another as its effect.
-
B.
determinesCausalStructure
Indicates that one entity establishes or defines the causal relationships and dependencies that govern how events or variables influence one another.
-
C.
symbolicRelation
Indicates a relationship where one entity stands for, represents, or conveys meaning about another through symbols or abstract signs.
-
D.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
E.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddd52d4819098b51d55e063c8ab |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.